一种基于低复杂度优化期望传播的仿射频分复用信号检测方法
By utilizing the sparsity and quasi-band structure of the DAFT domain channel matrix in the AFDM system, combined with LU decomposition and forward substitution algorithms, the computational complexity of the signal detection algorithm is reduced. Furthermore, by optimizing the expectation propagation algorithm to iteratively approximate the posterior distribution of the signal, the problems of high computational complexity and significant performance loss in the AFDM system are solved, thus achieving efficient and robust signal detection.
CN120934936BActive Publication Date: 2026-07-17UNIV OF ELECTRONICS SCI & TECH OF CHINA
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- UNIV OF ELECTRONICS SCI & TECH OF CHINA
- Filing Date
- 2025-08-01
- Publication Date
- 2026-07-17
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Figure CN120934936B_ABST
Abstract
本发明公开了一种基于低复杂度优化期望传播的仿射频分复用信号检测方法，属于多载波通信的信号检测技术。本发明通过迭代更新信息，以逼近ML结果，将复杂度从指数级降低到立方级；为降低EP的复杂度，本发明利用DAFT域中的稀疏和准带状信道结构。通过矩阵块分解、上下三角分解以及上三角矩阵前向替代，成功实现了低复杂度的矩阵求逆，将EP算法的复杂度降低到线性级别。此外，本发明通过深度学习优化矩匹配策略进一步提升EP算法性能，使得过程通过可训练的正负组件参数变得更加自适应。此外，基于本发明方法还可实现DAFT域迭代检测和解码，其解码器的外部信息反馈给检测器，显著提升整体系统的可靠性。本发明在性能提升和计算复杂度之间实现了有效平衡。
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